DesignAdvertise's A/B testing framework lets you run controlled experiments across creative, audiences, bidding strategies, and landing pages — with built-in statistical analysis to determine clear winners.
Creating a test
Open any campaign and click 'Add Test.' Select what you want to test: creative variants, audience segments, bidding strategies, or landing pages. Define your variants (minimum 2, maximum 5), set the test duration, and choose your primary success metric.
Test types
- Creative test — Compare different ad creative (images, copy, format) with identical audiences
- Audience test — Same creative shown to different audience segments
- Strategy test — Compare bidding strategies or budget allocations
- Landing page test — Same ad creative pointing to different landing pages
- Full-factorial — Test multiple variables simultaneously (advanced)
Statistical analysis
DesignAdvertise uses Bayesian statistical methods to determine test winners. The platform shows confidence levels, expected lift, and projected impact. Tests automatically reach statistical significance before declaring a winner — no premature conclusions.
Auto-optimization
Enable auto-optimization to let the platform shift traffic toward winning variants as confidence builds. This uses a multi-armed bandit approach that balances exploration (testing) with exploitation (using the best variant). The result is faster convergence and less wasted spend on underperformers.